Design, implement, and deploy end-to-end data and AI/ML systems on AWS while maintaining production platforms for reliability and scalability. Collaborate with cross-functional teams and AWS Professional Services to integrate agentic AI into enterprise operations.
You will design, build, and operate scalable data pipelines and platforms to support analytics, AI, and product initiatives. This includes managing data warehouses, integrating systems, and collaborating with cross-functional teams to deliver production-ready AI solutions.
The Staff Technical Product Manager will define product strategy and lead delivery across major client engagements, owning the full product lifecycle from discovery to production. They will act as a senior product voice, driving cross-functional alignment and building trusted relationships with executive-level client stakeholders.
Design, implement, and deploy end-to-end AI/ML models and data pipelines into production environments. Collaborate with cross-functional teams to maintain system reliability, performance, and scalability while contributing to architectural decisions.
The Staff Data Engineer will design and implement scalable data platforms, pipelines, and governance standards to support enterprise-grade AI/ML systems. They will also provide technical leadership, mentor junior engineers, and collaborate with cross-functional teams to drive data platform modernization.
Define and lead complex AI and digital strategy engagements from discovery through delivery for major clients. Build senior-level relationships, mentor strategy team members, and contribute to the growth and evolution of the firm's strategy practice.
The Senior Delivery Manager will lead end-to-end delivery of complex, multi-phase AI engagements, ensuring alignment across scope, budget, and timeline. They will facilitate cross-functional team execution while serving as the primary delivery partner and trusted advisor to clients.
Lead the design and delivery of complex, multi-domain systems spanning cloud, data, and AI/ML workloads. Act as a technical escalation point while mentoring engineers and partnering with leadership to define technical strategy.
The Staff Security Engineer will define security architecture and standards for cloud applications and AI systems while leading threat modeling and security reviews. They will also mentor junior engineers and partner with cross-functional teams to ensure secure, reliable, and production-ready AI integrations.
The Senior Cloud Architect will design and deliver complex, multi-domain systems spanning cloud, data, and AI/ML workloads. They will collaborate with cross-functional teams to build scalable, secure, and maintainable solutions while mentoring junior engineers.
You will train and operate large-scale models on Amazon SageMaker using AWS Trainium hardware. You will also optimize PyTorch training code and build cost-aware production pipelines for enterprise clients.
Define and lead platform engineering strategy across complex, multi-environment cloud systems while owning infrastructure architecture end-to-end. Drive DevSecOps, platform reliability, and the design of AI/ML infrastructure to support production-ready AI deployments.
The Staff Platform Engineer will define and lead platform engineering strategy across complex, multi-environment cloud systems. They will also oversee infrastructure architecture, DevSecOps practices, and the deployment of AI/ML platform infrastructure.
You will contribute to the architectural design and delivery of complex systems spanning cloud, data, and AI/ML workloads. This involves building scalable, secure solutions while collaborating with cross-functional teams to integrate AI into enterprise operations.
Design end-to-end UX/UI deliverables from early concepts to high-fidelity execution while maintaining design systems. Collaborate with client product teams, engineers, and strategists to deliver intuitive AI-integrated experiences.
Drive product vision and strategy for complex, high-stakes digital engagements while serving as the principal product advisor to client executives. Define delivery standards, mentor experienced product managers, and lead cross-functional teams to align engineering, design, and business goals.
The AI Engineer will design, build, and scale production-grade AI systems while providing technical leadership and mentorship to the engineering team. They are responsible for defining system architectures, implementing ML pipelines, and ensuring the reliability and performance of AI platforms.
Lead the design and delivery of complex, enterprise-grade generative and agentic AI systems on AWS. Serve as a strategic technical advisor to clients while providing architectural oversight to engineering teams.
The Staff Data Engineer will define data architecture and platform strategy while leading the design of scalable data lakes, warehouses, and pipelines. They will also mentor junior engineers and collaborate with cross-functional teams to integrate AI-forward solutions into enterprise operations.
Define and execute product strategy and vision for major client engagements while driving cross-functional alignment across engineering and design teams. Lead complex discovery processes and maintain trusted advisor relationships with senior client stakeholders to ensure successful product delivery.
The Principal AI Architect will lead the design and delivery of complex, multi-domain systems spanning cloud, data, and AI/ML workloads. They will serve as the senior technical authority, defining strategy, mentoring engineers, and driving high-stakes architectural decisions.
The Staff AI Architect will lead the design and delivery of complex, multi-domain systems spanning cloud, data, and AI/ML workloads. They will serve as the senior technical authority, defining strategy and mentoring experienced engineers to ensure high-quality, production-ready AI solutions.
The Staff UX/UI Designer will define design strategy for complex multi-platform products and lead end-to-end design across major client engagements. They will also own design system architecture, drive research strategy, and mentor junior designers while championing AI-powered workflows.
The Staff Platform Engineer will define and lead platform engineering strategy across complex, multi-environment cloud systems. They will also oversee infrastructure architecture, DevSecOps practices, and the deployment of AI/ML platform infrastructure.
The role involves sourcing candidates for technical and delivery positions while managing global interview scheduling and coordination. You will collaborate with recruiters and hiring managers to maintain organized pipelines and ensure a professional candidate experience.
You will define the technical strategy and AI architecture while leading the implementation of scalable ML platforms and LLM-powered systems. You will also mentor engineering teams and partner with leadership to drive the AI roadmap and ensure production-ready delivery.
Lead the design and implementation of complex AI/ML systems within client environments while driving solutions from research through production. Collaborate with client teams to translate business problems into scalable AI architectures and mentor junior engineers to ensure high-quality delivery.
Lead the design and implementation of complex AI/ML systems within client environments, ensuring successful delivery from research to production. Collaborate with client teams to translate business problems into scalable AI solutions while mentoring junior engineers and setting technical standards.
The Principal AI Engineering Architect will lead the design and delivery of complex, production-grade multi-agent AI systems across cloud and data platforms. They will serve as the senior technical authority, driving technical strategy while mentoring engineers and ensuring high-stakes architectural decisions align with business goals.
Lead the end-to-end design and delivery of scalable AI/ML systems and agentic architectures. Establish engineering standards and mentor junior engineers while aligning technical AI strategy with business outcomes.
Lead the end-to-end design and delivery of scalable AI/ML systems and agentic architectures. Establish engineering standards and mentor junior engineers while aligning technical direction with business outcomes.
Lead the design and delivery of enterprise-grade generative and agentic AI systems using AWS-native services. Serve as a strategic technical advisor to clients, translating business needs into scalable, secure, and production-ready AI architectures.
